/*
 * Tencent is pleased to support the open source community by making Angel available.
 *
 * Copyright (C) 2017 THL A29 Limited, a Tencent company. All rights reserved.
 *
 *  Licensed under the BSD 3-Clause License (the "License"); you may not use this file except in
 * compliance with the License. You may obtain a copy of the License at
 *
 *  https://opensource.org/licenses/BSD-3-Clause
 *
 *  Unless required by applicable law or agreed to in writing, software distributed under the License
 *  is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express
 *  or implied. See the License for the specific language governing permissions and limitations under
 *  the License.
 *
 */

package com.tencent.angel.serving.client

import com.tencent.angel.ml.math.TVector
import com.tencent.angel.serving.common.{PredictSplitData, PredictSplitDataList}
import com.tencent.angel.serving.{PredictData, PredictResult, PredictResultList}

/**
  * the model router
  */
trait ModelRouter {

  /**
    * route the predict data by model splits
    * @param data the predict data
    * @tparam V the vector type
    * @return the split predict data
    */
  def route[V <: TVector](data: PredictData[V]): Array[PredictSplitData[V]]

  /**
    * predict with split data
    * @param data the split predict data
    * @tparam V the vector type
    * @return the predict result
    */
  def predict[V <: TVector]( data: PredictSplitData[V]): PredictResult
}
